{
 "cells": [
  {
   "metadata": {},
   "cell_type": "code",
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import font_manager\n",
    "import random"
   ],
   "id": "ebf7dbcddaa95f0c",
   "outputs": [],
   "execution_count": null
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "",
   "id": "5b2827a4a30f09cf"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "#折线图基本操作",
   "id": "f23841a83831dc0b"
  },
  {
   "metadata": {},
   "cell_type": "code",
   "source": [
    "#通过plot函数绘制折线图\n",
    "x=range(1,11)\n",
    "y=[random.randint(1,10) for i in range(10)]\n",
    "plt.plot(x,y)\n",
    "plt.show()\n",
    "#折线的属性:颜色、透明度（0-1）、线型、线宽\n",
    "#线型:‘-‘实线、‘--’虚线、‘-.’点虚线、‘:’点线\n",
    "plt.plot(x,y,color=\"red\",alpha=0.3,linestyle=\"--\",linewidth=4)\n",
    "plt.show()\n",
    "#折点的样式marker:‘o’圆点、‘.’点………\n",
    "plt.plot(x,y,marker=\"o\")\n",
    "plt.show()\n",
    "#设置图片大小并保存\n",
    "#figsize:指定figure的宽和高。dpi参数指定绘图对象的分辨率，即每英寸多少个像素，缺省值为80\n",
    "plt.figure(figsize=(10,5),dpi=80)\n",
    "plt.plot(x,y)\n",
    "plt.show()\n",
    "plt.savefig('./t3.png')#表示在当前路径下（./）保存名为t2的图片(类型为png)。注意须在show前保存，因为show()会释放figure资源然后将只能保存空图片\n",
    "#x、y轴的刻度标签例如plt.xticks(ticks=None, labels=None, **kwargs)\n",
    "a=[1,3,5,8,9,10]#设计x轴的刻度位置\n",
    "xticks_label=[f\"{i}:00\" for i in a]#设计x轴刻度标签的样式\n",
    "plt.xticks(a,xticks_label,rotation = 45)#设置x轴的刻度位置（第一个参数）和刻度标签（第二个参数），这两个参数的数量应该相等。rotation=45表示刻度标签旋转45度\n",
    "plt.yticks(range(1,11,2),['a','b','c','d','e'])#设置y轴的刻度位置（从1开始以2为步长到10结束）和刻度标签（在每个位置显示什么）\n",
    "plt.plot(x,y)\n",
    "plt.show()\n",
    "#设置中文标题（x轴、y轴、图表）：matplotlib无法显示中文，可以通过matplotlib下的font_manager解决\n",
    "my_font = font_manager.FontProperties(fname='C:\\\\Windows\\\\Fonts\\\\simsun.ttc',size=18)#选择中文字体并设置大小 \n",
    "plt.xlabel(\"时间\",fontproperties=my_font)#x轴标题\n",
    "plt.ylabel(\"次数\",fontproperties=my_font)#y轴标题\n",
    "plt.title(\"一起跳舞吧\",color='red',fontproperties=my_font)#图表标题\n",
    "plt.plot(x,y)\n",
    "plt.show()\n",
    "#添加网格\n",
    "plt.grid( alpha=0.4 )#alpha参数设置透明度\n",
    "plt.plot(x,y)\n",
    "plt.show()\n",
    "#一图多折线\n",
    "y1 = [1, 0, 1, 1, 2, 4, 3, 4, 4, 5, 6, 5, 4, 3, 3, 1, 1, 1, 1, 1]\n",
    "y2 = [1, 0, 3, 1, 2, 2, 3, 4, 3, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1]\n",
    "x = range( 11, 31)\n",
    "plt.plot( x, y1, color='red', label='自己' )#现有图例\n",
    "plt.plot( x, y2, color='blue', label='同事' )#先有图例\n",
    "my_font = font_manager.FontProperties(fname='C:\\\\Windows\\\\Fonts\\\\simsun.ttc', size=18 )\n",
    "plt.legend( prop=my_font, loc='upper left' )#再添加图例(注意：只有在这里是prop参数来显示中文，其他都是fontproperties)：位置参数loc : upper left、 lower left、 center left、 upper center\n",
    "plt.show()"
   ],
   "id": "3a4fbc01f103f7d4",
   "outputs": [],
   "execution_count": null
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "#散点图基本操作",
   "id": "2c2659637dd6b926"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-01-06T12:25:28.948608Z",
     "start_time": "2025-01-06T12:25:28.797768Z"
    }
   },
   "cell_type": "code",
   "source": [
    "y = [11, 17, 16, 11, 12, 11, 12, 6, 6, 7, 8, 9, 12, 15, 14, 17, 18, 21, 16, 17, 20, 14,15, 15, 15, 19, 21, 22, 22, 22,23]\n",
    "x = range( 1, 32 )\n",
    "my_font = font_manager.FontProperties(fname='C:\\\\Windows\\\\Fonts\\\\simsun.ttc', size=18 )\n",
    "plt.scatter( x, y, label='3 月份' )#使用scatter绘制散点图,另外要先有图例然后下一句代码才能设置图例并添加，这两句不可交换\n",
    "plt.legend( prop=my_font, loc='upper left' )\n",
    "plt.show()\n",
    " "
   ],
   "id": "750a4ced6c6ec0ad",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 46
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "#条形图基本操作",
   "id": "39ead1a496c257e0"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-01-06T12:32:07.236594Z",
     "start_time": "2025-01-06T12:32:07.103038Z"
    }
   },
   "cell_type": "code",
   "source": [
    "a = ['流浪地球','疯狂的外星人','飞驰人生','大黄蜂','熊出没·原始时代','新喜剧之王']\n",
    "b = [38.13,19.85,14.89,11.36,6.47,5.93]\n",
    "plt.bar(range(len(a)),b,width=0.3)#使用bar绘制条形图，width=0.3表示条形的宽度\n",
    "plt.xticks(range(len(a)),a,fontproperties=my_font,rotation=45)\n",
    "plt.show()"
   ],
   "id": "3ff98f9d961e391",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 48
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "5671f315f814c2b9"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
